Prerequisites:

Introduction to Machine Learning with Azure
Course
Gain a high-level introduction to the field of machine learning and prepare to use Azure Machine Learning Studio to train machine learning models. Plus, learn how to perform a variety of tasks on Azure Machine Learning labs — from data import, transformation and management to training, validating and evaluating models. Access to the Azure Machine Learning Labs will close after a predetermined number of students have completed the course.
Gain a high-level introduction to the field of machine learning and prepare to use Azure Machine Learning Studio to train machine learning models. Plus, learn how to perform a variety of tasks on Azure Machine Learning labs — from data import, transformation and management to training, validating and evaluating models. Access to the Azure Machine Learning Labs will close after a predetermined number of students have completed the course.
Built in collaboration with
Microsoft
Last Updated September 9, 2022
Last Updated September 9, 2022
Prerequisites:
No experience required
Course Lessons
Lesson 1
Introduction to Machine Learning
In this lesson, we'll give you a high-level introduction to the field of machine learning. In the process, you will also train your first machine learning model using Azure Machine Learning Studio.
Lesson 2
Model Training
This lesson is about how to prepare data and then transform it into trained machine learning models. This lesson will also introduce you to ensemble learning and automated machine learning.
Lesson 3
Supervised & Unsupervised Learning
This lesson covers two of Machine Learning's fundamental approaches: supervised and unsupervised learning. We'll learn about classification, regression, clustering, representation learning, and more.
Lesson 4
Applications of Machine Learning
In this lesson we'll look at some of the most important applications of ML, including deep learning, similarity learning, text classification, feature learning, and anomaly detection.
Lesson 5
Managed Services for Machine Learning
In this lesson you'll learn how to enhance your ML processes with managed services. We'll discuss computing resources, the modeling process, automation via pipelines, and more.
Lesson 6
Responsible AI
This lesson will tackle some of the potential implications and challenges posed by ML and AI—as well as principles for building responsible AI that avoids harming others.
Lesson 7
Course Conclusion
Congratulations on completing the course! In this short lesson, we'll recap what you've learned and talk briefly about the future of Machine Learning.
Taught By The Best

Aniththa Umamahesan
Program Manager, Microsoft Azure Machine Learning

Abe Omorogbe
Program Manager, Microsoft

Zoiner Tejada
CEO & Architect, Solliance

Ciprian Jichici
Chief Data Scientist, Solliance
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